PPT-Friday, May 12, 2017 Programming Abstractions

Spring 2017 Stanford University Computer Science Department Lecturer Chris Gregg reading Programming Abstractions in C pp 721722 CS 106B Lecture 19 Binary Heaps Back to Regular Programming Todays Topics. All Programmable Abstractions push beyond traditional RTL design methodologies to automate all aspects of system development and algorithm deployment into all programmable FPGAs SoC and 3D ICs Xilinx and its Alliance members are working together to Matei Zaharia, . Benjamin . Hindman. , Andy . Konwinski. , Ali . Ghodsi. , Anthony Joseph, Randy Katz, Scott . Shenker. , Ion . Stoica. Background. Clusters of commodity servers . have become a . major computing . 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. Cynthia Lee. CS106X. Today’s Topics. Quick final exam discussion. Details/logistics, topics, sources for practice problems. Quarter wrap-up. Putting it all together: what have we accomplished together this quarter?. Disjoint Set Union-Find . and . Minimum Spanning Trees. Kate Deibel. Summer 2012. August 13, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Making Connections. You have a set of nodes (numbered 1-9) on a network. . Cynthia Lee. CS106B. Today’s Topics. Quick final exam discussion. Details/logistics, topics, sources for practice problems. Quarter wrap-up. Putting it all together: what have we accomplished together this quarter?. CSE 332 Data Abstractions: A Heterozygous Forest of AVL, Splay, and B Trees Kate Deibel Summer 2012 July 2, 2012 CSE 332 Data Abstractions, Summer 2012 1 From last time… Binary search trees can give us great performance due to providing a structured binary search. Programming Abstractions in C++ Cynthia Lee CS106B Today’s Topics Introductions Course structure and procedures What is this class? W hat do we mean by “abstractions”? Introduce the C++ language from the Java programmer’s perspective (but it’s ok if you’re not a Java programmer!) Cynthia Lee. CS106B. T. opics roadmap:. Previous classes:. Recursion intro: factorial and stack frames (Friday). Designing recursive solutions: binary search and fractals (Monday). Loops + recursion: permutations and backtracking (Wednesday). Spring 2018. Stanford University . Computer Science Department. Lecturer: Chris Gregg. CS 106B. Lecture 26: Esoteric Data Structures: Skip Lists and Bloom Filters. Today's Topics. Logistics. Final Exam Review materials posted by 5pm today: . Spring 2018. Stanford University . Computer Science Department. Lecturer: Chris Gregg. reading:. Programming Abstractions in C++, Chapter 5.4-5.6. CS 106B. Lecture 6: Sets and Maps. b. d. c. a. e. f. Spring 2017. Stanford University . Computer Science Department. Lecturer: Chris Gregg. reading:. Programming Abstractions in C++, Chapter 5.4-5.6. CS 106B. Lecture 6: Sets and Maps. b. d. c. a. e. f. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them.